


'''simple docstring'''




import tempfile
import unittest
from pathlib import Path
from shutil import copyfile

from transformers import BatchEncoding, MarianTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import is_sentencepiece_available, is_tf_available, is_torch_available


if is_sentencepiece_available():
       from transformers.models.marian.tokenization_marian import VOCAB_FILES_NAMES, save_json

from ...test_tokenization_common import TokenizerTesterMixin


_a   :   int												=   get_tests_dir("fixtures/test_sentencepiece.model")

_a   :   Dict												=   {"target_lang": "fi", "source_lang": "en"}
_a   :   Optional[int]												=   ">>zh<<"
_a   :   List[str]												=   "Helsinki-NLP/"

if is_torch_available():
       _a   :   List[str]												=   "pt"
elif is_tf_available():
       _a   :   Dict												=   "tf"
else:
       _a   :   Union[str, Any]												=   "jax"




@require_sentencepiece
class 			_lowercase (	__lowercase						,					unittest.TestCase							):
   _SCREAMING_SNAKE_CASE  :  int          =	MarianTokenizer
   _SCREAMING_SNAKE_CASE  :  str          =	False
   _SCREAMING_SNAKE_CASE  :  Union[str, Any]          =	True
   def a  (						self       :      int      ) ->							int:
        super().setUp()
        __snake_case           =						['</s>', '<unk>', '▁This', '▁is', '▁a', '▁t', 'est', '\u0120', '<pad>']
        __snake_case           =						dict(zip(SCREAMING_SNAKE_CASE_       ,   range(len(SCREAMING_SNAKE_CASE_      )      )      )      )
        __snake_case           =						Path(self.tmpdirname      )
        save_json(SCREAMING_SNAKE_CASE_       ,   save_dir / VOCAB_FILES_NAMES['vocab']      )
        save_json(SCREAMING_SNAKE_CASE_       ,   save_dir / VOCAB_FILES_NAMES['tokenizer_config_file']      )
        if not (save_dir / VOCAB_FILES_NAMES["source_spm"]).exists():
             copyfile(SCREAMING_SNAKE_CASE_       ,   save_dir / VOCAB_FILES_NAMES['source_spm']      )
             copyfile(SCREAMING_SNAKE_CASE_       ,   save_dir / VOCAB_FILES_NAMES['target_spm']      )

        __snake_case           =						MarianTokenizer.from_pretrained(self.tmpdirname      )
        tokenizer.save_pretrained(self.tmpdirname      )
   def a  (						self       :      int       ,   **SCREAMING_SNAKE_CASE_       :      Optional[int]      ) ->							MarianTokenizer:
        return MarianTokenizer.from_pretrained(self.tmpdirname       ,   **SCREAMING_SNAKE_CASE_      )
   def a  (						self       :      str       ,   SCREAMING_SNAKE_CASE_       :      List[str]      ) ->							List[Any]:
        return (
            "This is a test",
            "This is a test",
        )
   def a  (						self       :      int      ) ->							Optional[Any]:
        __snake_case           =						'</s>'
        __snake_case           =						0

        self.assertEqual(self.get_tokenizer()._convert_token_to_id(SCREAMING_SNAKE_CASE_      )       ,   SCREAMING_SNAKE_CASE_      )
        self.assertEqual(self.get_tokenizer()._convert_id_to_token(SCREAMING_SNAKE_CASE_      )       ,   SCREAMING_SNAKE_CASE_      )
   def a  (						self       :      Dict      ) ->							List[str]:
        __snake_case           =						list(self.get_tokenizer().get_vocab().keys()      )

        self.assertEqual(vocab_keys[0]       ,   '</s>'      )
        self.assertEqual(vocab_keys[1]       ,   '<unk>'      )
        self.assertEqual(vocab_keys[-1]       ,   '<pad>'      )
        self.assertEqual(len(SCREAMING_SNAKE_CASE_      )       ,   9      )
   def a  (						self       :      List[Any]      ) ->							str:
        self.assertEqual(self.get_tokenizer().vocab_size       ,   9      )
   def a  (						self       :      Any      ) ->							Optional[int]:
        __snake_case           =						MarianTokenizer.from_pretrained(f'{ORG_NAME}opus-mt-en-de'      )
        __snake_case           =						en_de_tokenizer(['I am a small frog']       ,   return_tensors=SCREAMING_SNAKE_CASE_      )
        self.assertIsInstance(SCREAMING_SNAKE_CASE_       ,   SCREAMING_SNAKE_CASE_      )
        __snake_case           =						[38, 121, 14, 697, 3_8848, 0]
        self.assertListEqual(SCREAMING_SNAKE_CASE_       ,   batch.input_ids[0]      )

        __snake_case           =						tempfile.mkdtemp()
        en_de_tokenizer.save_pretrained(SCREAMING_SNAKE_CASE_      )
        __snake_case           =						[x.name for x in Path(SCREAMING_SNAKE_CASE_      ).glob('*'      )]
        self.assertIn('source.spm'       ,   SCREAMING_SNAKE_CASE_      )
        MarianTokenizer.from_pretrained(SCREAMING_SNAKE_CASE_      )
   def a  (						self       :      Optional[int]      ) ->							Any:
        __snake_case           =						self.get_tokenizer()

        __snake_case           =						tok(
            ['I am a small frog' * 1000, 'I am a small frog']       ,   padding=SCREAMING_SNAKE_CASE_       ,   truncation=SCREAMING_SNAKE_CASE_       ,   return_tensors=SCREAMING_SNAKE_CASE_      )
        self.assertIsInstance(SCREAMING_SNAKE_CASE_       ,   SCREAMING_SNAKE_CASE_      )
        self.assertEqual(batch.input_ids.shape       ,   (2, 512)      )
   def a  (						self       :      Tuple      ) ->							Dict:
        __snake_case           =						self.get_tokenizer()
        __snake_case           =						tok(['I am a tiny frog', 'I am a small frog']       ,   padding=SCREAMING_SNAKE_CASE_       ,   return_tensors=SCREAMING_SNAKE_CASE_      )
        self.assertIsInstance(SCREAMING_SNAKE_CASE_       ,   SCREAMING_SNAKE_CASE_      )
        self.assertEqual(batch_smaller.input_ids.shape       ,   (2, 10)      )
   @slow
   def a  (						self       :      int      ) ->							int:
        # fmt: off
        __snake_case           =						{'input_ids': [[4_3495, 462, 20, 4_2164, 1369, 52, 464, 132, 1703, 492, 13, 7491, 3_8999, 6, 8, 464, 132, 1703, 492, 13, 4669, 3_7867, 13, 7525, 27, 1593, 988, 13, 3_3972, 7029, 6, 20, 8251, 383, 2, 270, 5866, 3788, 2, 2353, 8251, 1_2338, 2, 1_3958, 387, 2, 3629, 6953, 188, 2900, 2, 1_3958, 8011, 1_1501, 23, 8460, 4073, 3_4009, 20, 435, 1_1439, 27, 8, 8460, 4073, 6004, 20, 9988, 375, 27, 33, 266, 1945, 1076, 1350, 3_7867, 3288, 5, 577, 1076, 4374, 8, 5082, 5, 2_6453, 257, 556, 403, 2, 242, 132, 383, 316, 492, 8, 1_0767, 6, 316, 304, 4239, 3, 0], [148, 1_5722, 19, 1839, 12, 1350, 13, 2_2327, 5082, 5418, 4_7567, 3_5938, 59, 318, 1_9552, 108, 2183, 54, 1_4976, 4835, 32, 547, 1114, 8, 315, 2417, 5, 92, 1_9088, 3, 0, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100], [36, 6395, 1_2570, 3_9147, 1_1597, 6, 266, 4, 4_5405, 7296, 3, 0, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100, 5_8100]], 'attention_mask': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
        # fmt: on

        self.tokenizer_integration_test_util(
            expected_encoding=SCREAMING_SNAKE_CASE_       ,   model_name='Helsinki-NLP/opus-mt-en-de'       ,   revision='1a8c2263da11e68e50938f97e10cd57820bd504c'       ,   decode_kwargs={'use_source_tokenizer': True}       ,   )





   def a  (						self       :      Dict      ) ->							str:
        __snake_case           =						MarianTokenizer.from_pretrained('hf-internal-testing/test-marian-two-vocabs'      )

        __snake_case           =						'Tämä on testi'
        __snake_case           =						'This is a test'

        __snake_case           =						[76, 7, 2047, 2]
        __snake_case           =						[69, 12, 11, 940, 2]

        __snake_case           =						tokenizer(SCREAMING_SNAKE_CASE_      ).input_ids
        self.assertListEqual(SCREAMING_SNAKE_CASE_       ,   SCREAMING_SNAKE_CASE_      )

        __snake_case           =						tokenizer(text_target=SCREAMING_SNAKE_CASE_      ).input_ids
        self.assertListEqual(SCREAMING_SNAKE_CASE_       ,   SCREAMING_SNAKE_CASE_      )

        __snake_case           =						tokenizer.decode(SCREAMING_SNAKE_CASE_       ,   skip_special_tokens=SCREAMING_SNAKE_CASE_      )
        self.assertEqual(SCREAMING_SNAKE_CASE_       ,   SCREAMING_SNAKE_CASE_      )









'''simple docstring'''



lowerCAmelCase_  :							List[Any]             =    [0, 2, 4, 6, 8]
lowerCAmelCase_  :							str             =    [1, 3, 5, 7, 9]
def        UpperCAmelCase (    A	:					int       ,		A	:					int       ,		A	:					list[int]       ,		A	:					int					):
							if remaining_length == 0:
														if digits[0] == 0 or digits[-1] == 0:
																					return 0

														for i in range(length // 2 - 1       ,		-1       ,		-1					):
																					remainder += digits[i] + digits[length - i - 1]

																					if remainder % 2 == 0:
																												return 0

																					remainder //= 10

														return 1

							if remaining_length == 1:
														if remainder % 2 == 0:
																					return 0

														SCREAMING_SNAKE_CASE       :   List[Any]         =      0
														for digit in range(10					):
																					SCREAMING_SNAKE_CASE       :   Optional[Any]         =      digit
																					result += reversible_numbers(
																					    0       ,		(remainder + 2 * digit) // 10       ,		A       ,		A					)
														return result

							SCREAMING_SNAKE_CASE       :   List[str]         =      0
							for digita in range(10					):
														SCREAMING_SNAKE_CASE       :   int         =      digita

														if (remainder + digita) % 2 == 0:
																					SCREAMING_SNAKE_CASE       :   str         =      ODD_DIGITS
														else:
																					SCREAMING_SNAKE_CASE       :   List[str]         =      EVEN_DIGITS

														for digita in other_parity_digits:
																					SCREAMING_SNAKE_CASE       :   Union[str, Any]         =      digita
																					result += reversible_numbers(
																					    remaining_length - 2       ,		(remainder + digita + digita) // 10       ,		A       ,		A       ,		)
							return result
def        UpperCAmelCase (    A	:					int = 9					):
							SCREAMING_SNAKE_CASE       :   Union[str, Any]         =      0
							for length in range(1       ,		max_power + 1					):
														result += reversible_numbers(A       ,		0       ,		[0] * length       ,		A					)
							return result


if __name__ == "__main__":
							print(f'{solution() = }')




